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Sensor networks must be able to fuse nodes’ perceptions in a reliable way to reach a trustworthy consensus. Data association mistakes and measurement outliers are some of the factors that can contribute to incorrect perceptions and considerably affect consensus values. In this paper, we present a novel distributed scheme for robust consensus in autonomous sensor networks. The proposed method builds...
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